Optimal Solutions for Sustainable Energy Systems

The energy systems of the future consist of highly interconnected infrastructures in which electricity, heat, and transport sectors increasingly interact. The ongoing energy transition and the global shift toward CO₂-neutral energy supply require the integration of numerous decentralized and often small-scale energy producers into existing energy networks. As these systems become more complex, their planning and operation demand advanced data-driven methods of mathematical optimization and intelligent control. The EnergyLab develops innovative solution approaches in close cooperation with industry partners to support both the strategic expansion and the efficient operation of energy networks. The focus lies on designing mathematically optimized decision-support tools that ensure security of supply while minimizing investment and operating costs. A central research approach is the identification and exploitation of underlying problem structures, enabling the development of efficient solution methods that can also be transferred to related applications in critical infrastructure systems.